Triple
T21988624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doncaster Rovers Belles L.F.C. |
E543026
|
entity |
| Predicate | hasNotablePlayer |
P9730
|
FINISHED |
| Object |
Karen Walker
Karen Walker is a former English footballer and prolific striker best known for her long and successful career with Doncaster Belles and the England women's national team.
|
E1512246
|
NE FINISHED |
How this triple was built (3 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Walker Context triple: [Doncaster Rovers Belles L.F.C., hasNotablePlayer, Karen Walker]
-
A.
Karen Walker
Karen Walker is a sharp-tongued, fabulously wealthy socialite and assistant known for her outrageous humor and heavy drinking on the sitcom "Will & Grace."
-
B.
Karen Hood
Karen Hood is the central protagonist of the film "Welcome to L.A.," around whom the story’s interpersonal dramas and emotional developments revolve.
-
C.
Nita Talbot
Nita Talbot is an American actress known for her sharp-witted supporting roles in film and television, including a notable Emmy-nominated performance on the sitcom "Hogan's Heroes."
-
D.
Emily Sweeney
Emily Sweeney is a dermatologist who appears as Rajesh Koothrappali’s love interest on the television sitcom "The Big Bang Theory."
-
E.
Amy Wren
Amy Wren is a British actress known for her television roles, including a prominent part in the comedy-drama series "Sirens."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Karen Walker Triple: [Doncaster Rovers Belles L.F.C., hasNotablePlayer, Karen Walker]
Generated description
Karen Walker is a former English footballer and prolific striker best known for her long and successful career with Doncaster Belles and the England women's national team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karen Walker Target entity description: Karen Walker is a former English footballer and prolific striker best known for her long and successful career with Doncaster Belles and the England women's national team.
-
A.
Karen Walker
Karen Walker is a sharp-tongued, fabulously wealthy socialite and assistant known for her outrageous humor and heavy drinking on the sitcom "Will & Grace."
-
B.
Karen Hood
Karen Hood is the central protagonist of the film "Welcome to L.A.," around whom the story’s interpersonal dramas and emotional developments revolve.
-
C.
Nita Talbot
Nita Talbot is an American actress known for her sharp-witted supporting roles in film and television, including a notable Emmy-nominated performance on the sitcom "Hogan's Heroes."
-
D.
Emily Sweeney
Emily Sweeney is a dermatologist who appears as Rajesh Koothrappali’s love interest on the television sitcom "The Big Bang Theory."
-
E.
Amy Wren
Amy Wren is a British actress known for her television roles, including a prominent part in the comedy-drama series "Sirens."
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d81c92481909a58757f929f904c |
completed | May 18, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a0a6e18d4f48190bfb917c9c9109ea5 |
completed | May 18, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6ee56684819082d2001b2e817ed8 |
completed | May 18, 2026, 1:44 a.m. |
Created at: April 16, 2026, 8:05 p.m.